The Research of Interactive Emission-line Stars Recognition for LAMOST Low Quality Spectra

DOI

10.2991/emcpe-16.2016.171How to use a DOI?

Keywords

LAMOST; Emission-line stars; Continuum normalization; Spectral lines feature detection

Abstract

Massive sky survey data are produced by the LAMOST large-scale survey project, which provides opportunities to search for some unusual and rare astronomical spectra. The low quality spectra still accounted for about half of total LAMOST observed data at present. For these low quality spectra, research of unusual and rare spectra recognition using computer technology must be combined with artificial check for more efficient recognition. Therefore, this paper focused on the research of interactive emission-line stars recognition. First, we use min-max normalization and continuum normalization for experimental spectra, so that there are only spectral lines features in the spectra. Then, we do feature detection on some particular spectral lines, and recognize emission-line stars through the results of spectral lines feature detection.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lipeng Bi
AU  - Jingchang Pan
AU  - Cong Liu
AU  - Guozhou Ge
PY  - 2016/08
DA  - 2016/08
TI  - The Research of Interactive Emission-line Stars Recognition for LAMOST Low Quality Spectra
BT  - Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics
PB  - Atlantis Press
SP  - 684
EP  - 688
SN  - 2352-5401
UR  - https://doi.org/10.2991/emcpe-16.2016.171
DO  - 10.2991/emcpe-16.2016.171
ID  - Bi2016/08
ER  -